GOOG1 #6

Algorithm Brief

GOOG1 Execute (unified runtime)
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Re-entry policy (flat position)
- Keep normal strategy decision from algorithms/*_algorithm.py.
- If flat and price drops by strategy pullback ratio (X) from last sell price, buy early.
- If still flat after 2 cycles, force one buy regardless of price.
- X and buy notional are inherited from strategy Params().
- Runtime state: state/<ACCOUNT_ID>_runtime_state.json (flat_cycles, last_sell_price).
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import sys
import json
from datetime import datetime, timezone
from pathlib import Path

ROOT = Path(__file__).resolve().parent.parent
sys.path.append(str(ROOT))
sys.path.append(str(ROOT / 'scripts'))

from algorithms.GOOG1_algorithm import decide, Params
from trader_core import request, load_trade_config, resolve_agent_key
from lotdb import load_lotbook as db_load_lotbook, save_lotbook as db_save_lotbook, append_trade

SYMBOL = 'GOOG'
ACCOUNT_ID = 'GOOG1'
ACCOUNT_KIND = 'stock'  # crypto | stock
DUST_NOTIONAL = 20.0
SELL_FEE_BPS = 10.0
FLAT_REENTRY_WAIT_CYCLES = 2
ALGO_PARAMS = Params()
FLAT_REENTRY_BUY_NOTIONAL = float(getattr(ALGO_PARAMS, 'buy_notional', 0.0) or 0.0)
EARLY_REENTRY_DROP_RATIO = float(getattr(ALGO_PARAMS, 'buy_pullback_ratio', 0.0) or 0.0)


def _key_for(cfg: dict) -> str:
    p = ROOT / 'state' / 'goog1_agent.json'

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